Triple
T13724063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cockiness (Love It) |
E329108
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | SRP Records |
E388128
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SRP Records | Statement: [Cockiness (Love It), recordLabel, SRP Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SRP Records Context triple: [Cockiness (Love It), recordLabel, SRP Records]
-
A.
SRP Records
chosen
SRP Records is a music record label known for discovering and developing recording artists under the broader Umbrella Music Group.
-
B.
SRP
SRP (Stream Reservation Protocol) is an IEEE 802.1 Audio Video Bridging (AVB) protocol that enables end-to-end reservation of network resources to guarantee quality of service for time-sensitive audio and video streams over Ethernet.
-
C.
SRP
SRP is a core object-oriented design principle stating that a class or module should have only one reason to change, promoting cohesion and maintainability.
-
D.
S Records
S Records is a music record label associated with releasing work by the artist Thankful.
-
E.
SRV
SRV is the IATA airport code for the small public airport serving the remote community of Stony River in Alaska, United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f52e748190b49c34e10ab8ac34 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d60cd048190b20c4e6f49f816a6 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.